What is the 'Partner Team' feature?

It allows you to define a multi-expert workflow where different personas handle specific stages of a project, such as an Architect designing and a Guardian performing QA.

How do I start using the AI Partner System?

Simply run '/partner init' to set up your initial profile and '/partner select' to choose your first specialized collaborator.

What are the different AI partner personas available?

The system features five primary personas: The Architect (system design), The Pragmatist (implementation), The Mentor (reviews/learning), The Innovator (trends/innovation), and The Guardian (security/testing).

How does the matching system choose a partner?

The system analyzes task complexity, domain (backend, security, etc.), and urgency to recommend the persona with the highest compatibility score.

Can I save my project preferences across sessions?

Yes, the skill includes a Context Memory feature that tracks tech stacks, coding styles (like Prettier/ESLint), and previous session history.

AI Partner System

Name: AI Partner System
Author: m16khb

bym16khb

Productividad y Flujo de Trabajo

Transforms Claude into a specialized collaborator by providing domain-specific AI personas and adaptive workflow management.

Acerca de

The AI Partner System is a sophisticated framework for Claude Code that allows users to collaborate with specialized AI experts tailored to their specific needs. By choosing between personas like The Architect for system design, The Mentor for code reviews, or The Guardian for security, users can ensure that Claude's responses align with the task's complexity and professional requirements. The skill includes a persistent context memory and a growth system that tracks collaboration history, making it an essential tool for developers who want a more structured and specialized AI interaction experience.

Características Principales

Intelligent Task-Based Matching Algorithm
0 GitHub stars
Persistent Context Memory for long-term project tracking
Multi-persona 'Partner Team' workflow orchestration
Dynamic Communication Style Adaptation based on user feedback
Expert Persona Selection (Architect, Pragmatist, Mentor, Innovator, Guardian)

Casos de Uso

Engaging a Mentor persona to improve code quality through rigorous reviews and educational feedback
Utilizing the Guardian persona for thorough security audits and vulnerability testing before deployment
Partnering with an Architect to plan complex microservices or system migrations

Acerca de

Características Principales

Intelligent Task-Based Matching Algorithm
0 GitHub stars
Persistent Context Memory for long-term project tracking
Multi-persona 'Partner Team' workflow orchestration
Dynamic Communication Style Adaptation based on user feedback
Expert Persona Selection (Architect, Pragmatist, Mentor, Innovator, Guardian)

Casos de Uso

Engaging a Mentor persona to improve code quality through rigorous reviews and educational feedback
Utilizing the Guardian persona for thorough security audits and vulnerability testing before deployment
Partnering with an Architect to plan complex microservices or system migrations